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This repository contains codes starting from the basic machine learning to advanced topics in Ipython Notebooks.

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ruchikaverma-iitg/ML-DL-RL_Codes

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ML-DL-RL_Codes

Machine learning, deep learning, reinforcement learning, statistics and optimization codes in Python. The codes are organized in respective sub-folders as shown below.

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Data_Science_from_Scratch Python implementations of the algorithms discussed in the Data Science from Scratch book by Joel Grus
Machine Learning Python implementations of various machine learning algorithms explained in the book Pattern Recognition and Machine Learning by Christopher Bishop and Probabilistic Machine Learning: An Introduction by Kevin Patrick Murphy.
Hands_on_Deep_Learning Python implementations of various deep learning algorithms.

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This repository contains codes starting from the basic machine learning to advanced topics in Ipython Notebooks.

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